Business overview for Sapient Shopping

1. Introducing
Faramarz Farhoodi
Founder and CEO
(formerlyAmazon, IAC, Auction.com)
Re-inventing the Online Shopping Experience
Personalized Shopping Technology for Specialty Retail - Powered by Proprietary Artificial Intelligence

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The Opportunity
has won the battle for product search
is the dominant general search engine
is creating the Ultimate Shopping Experience

3. 3
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WE ARE ENTHUSIASTS
Frustrated with the current state of online
shopping for our interests
WE MAKE IT PERSONAL
We make online shopping personalized,
conversational, fun and guided
WE HAVE A CONCIOUS BUSINESS MODEL
Committed to promoting sustainability, youth
education, and the protection of the environment
WE ARE RESULTS ORIENTED
Going to market with own marketplace in
Action Water Sports to demonstrate the
benefits of our technology
CREATING A GAME CHANGING SOLUTION
Building an AI engine that will re-invent the online
shopping experience for specialty products
WE ARE EXPERTS!
We have decades of experience in AI,
Ecommerce, consumer retail, and action
sports
OurStory
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4. Why Specialty Products?
LESS PRICE SENSITIVE
HIGHER MARGINS
GREATER LIFE TIME VALUE
(LTV)
ENTHUSIASTIC
CONSUMERS
EASILY TARGETED
AUDIENCE
USER EXPERIECE ONLINE
INFERIOR TO IN-STORE

5. The Problem
On average only 2 out of every 100 web site visits results in a sale
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Impersonal
Online shopping sites have a
cookie-cutter approach to
users, are mechanical and
lack understanding of people
and products
Time Consuming
Despite the larger selection
and lower prices, it is too time
consuming to research and
buy high ticket and
specialized products online –
on average 5 days
Lack Guidance Poor Search
Direct-nav and search-based
discovery getting (even) harder due
to increasing product selection
of consumers want a more personalized
assisted shopping experience
74%
of companies say they don’t understand
how to carry out website personalization
72%
The current state is bad for both consumers and online shopping sites
Current site search and
recommendation solutions are
disjointed, weak and devoid of
‘intelligence’/’understanding’
75%
of product
searches start
online but
only 8% of
sales occur
online

6. Starts with a
Conversation
OFFLINE SHOPPING ONLINE SHOPPING
Starts with
Search
vs.
Where should I start?
What factors are relevant?
What are my options?
Why is this important?
What are the tradeoffs?
Which companies carry it?
Which brands are best?
Why should I buy this?
Who in my network has advice?
Who has the best deal?
• Price
• Return Policy
• Warranty
• Customer Service
The Consumer’s Dilemma
$
+ A sales person finds out
what you need - On average 5 days of research
+ Provides personalized
advice
+ Helps you make decisions
about products
+ Limited selection and
higher prices
- Back and forth across multiple
sites
+/-Online chat useful but
inefficient
+ But larger selection and lower prices
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7. Re-inventing the Online Shopping Experience
ADVISE
Make online shopping
conversational –
automated personal
shopping assistance
calibrated to each user
UNIFY
Combine the best of
in-store and online
shopping
HUMANIZE
Increase the intelligence
of online shopping tools –
augment search and
recommendations with
human expertise and
reasoning
PERSONALIZE
Relevance is key –
personalize everything!
Each user must feel
like the shopping site
was designed for
his/her needs
CONNECT
Support Omnichannel
shopping – same
shopping experience
on any device, online,
or through call center
+
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8. 01. Poor Search Results
Amazon – like other web sites – has no understanding
of product types , relationships, or budget, and
produces results that do not match users’ intents
02. Driven/Biased by Sellers
Amazon’s search engine indexes keywords in product
titles and descriptions as sent by sellers – has no
information beyond these like expertise
03. Literal & Mechanical
Amazon’s search engine cannot handle qualitative
search requests – no understanding of terms like best,
cheapest or budget
04. Unreliable & Time Consuming Search
Forces users to sift through reviews to self-educate and
then make a choice. Many fake reviews cause time
wasting and mislead users
Searching for the Best Regulator for
Diving under $700
Results should
look similar to
this:
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Example of Actual Search
Amazon.com

9. 01. High Quality Search Results
DiveThings.com considers multiple factors based on
human expertise to score and sort sellers – not just
Keywords
04. Saving Time for Consumers
Product educational content, Amazon and local pricing
and review, expert comparisons, as well as
DiveThings.com expert reviews will save time and help
consumer in making purchase decisions
03. Natural Language Understanding
DiveThings.com can intelligently handle qualitative user
queries – interactive product concierge replicating in-
store shopping in Dev.
02. Unbiased Search Results
DiveThings.com uses crowd sourced knowledge – from
instructors and experienced divers - to match products
with user queries – ignores seller keyword packing
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Example of Search using Sapient Shopping’s Semantic Search and
Amazon’s Data (used on previous page)

10. Our Product Roadmap
Sapient Shopping
AI Engine (SaaS)
Software as a Service Plug-
In to boost conversion on
Ecommerce Websites
Beta Release: 2016
Cloud Based
Point-of-Sale
Market Launch: 2018
Turn Key
Marketplace
Platform (SaaS)
SaaS Marketplace Software
for 3rd Parties
Market Launch: 2017
Water Sport
Marketplace
Go-to-Market Strategy
(Our own direct-to-
consumer marketplace to
showcase our Tech and
generate revenue)
MVP 2016
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11. Competitive Landscape
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Full Shopping Experience
Search, Recommendations,Personalization,Content & Interactive Advice
Full Spectrum AI
Strong AI (Semantics) + Machine
Learning
Pure Technology
E.g. Search or Recommendations Only
Pure
Machine
Learning
* At Target State – End 2018

12. Investment Opportunity
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Exit Strategy: IPO or Acquisition by a Major E-Commerce Company
Bridge funding to Series A
$500k
THE ASK
FUNDING TO DATE
$400K – Cash Investment
$400K – Equity funded

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Why Invest in Sapient Shopping?
Novel Technology
A unique and proprietary combo of Artificial
Intelligence and E-Commerce technologies
tailored for vertical consumers.
Experienced Leadership
With a proven track record of innovation
and rapid growth in Ecommerce and the
target markets.
Solid and Diverse
Our revenue generation model is solid and
diverse through direct to consumer
marketplaces and technology offering to
online retailers. This is a real business
expected to be EBITDA + in 12 months
from market launch.
Growth and Exit Options
Aggressive customer acquisition and revenue
targets - to build to IPO or targeting exit through
acquisition by a top retailer: Amazon (we already
integrate with Amazon.com), Alibaba, eBay, and
Google (Shopping) are likely candidates.

14. § Our executive team are passionate about and actively involved in adventure sports and in protecting the
environment in which we do those sports
§ Protecting the environment and following a conscious and sustainable business model underpin our path to
business success, as highlighted in our corporate social responsibility policy
§ We have a Ph.D. and educator in Environmental Science in our advisory board – formulating specific ecological
and education programs that are consistent with our revenue growth and sustainability objectives
§ Dissemination of information about environmental initiatives and agencies, sponsorships of ecological projects –
especially for the young - and financial assistance will be central to our strategies for launching direct to consumer
marketplaces
§ Examples of planned sponsorships for our water sports business unit include: Reef Check
(http://www.reefcheck.org/), Waves for Water (http://www.wavesforwater.org/), Plastic Oceans
(http://www.plasticoceans.net/) and One Percent for the Planet (http://onepercentfortheplanet.org/). Each of these
organizations carry out incredible work to protect our environment
§ Please refer to our CSR policy for further details
Giving Back is Core to Our Strategy
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15. Use of Capital
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Engineering
• To create the MVP of
core technology platform
and launch of our own
marketplace for action
water sports
Operations
• Rental of Office Space
• Infrastructure for
Customer Support and
Operations
• Hiring of 2 Full-Time
Staff
Product & Comparison
Content
• Dedicated team of 2
specialists plus
consultants to curate and
encode manufacturer
product data
• Creation of educational
animation and videos
Marketing
• Social Media Marketing
• Search Engine
Optimization (SEO)
• Content Development:
Educational / How-To
Videos
• Highly Targeted, Limited
Search Engine Marketing
• Affiliate Marketing
• Business Travel

16. § Faramarz Farhoodi – Founder and CEO: Amazon/Target.com, Motosport (Sequoia company), IAC, Auction.com, Nationstar,
Logica (CGI), Perot Systems (Dell), Haley Systems (Oracle)
§ Laird Hamilton – President of surfing: Surfing icon, inventor, entrepreneur
§ Michael Eisenberg - EVP Commerce: Disney Direct, Sara Lee, Sears, Musicians Friend, Motosport
§ Eldo Cherian - CTO: Infosys, Amazon, Aloha Airlines, Cisco Systems, Auction.com, Coolsoft (our tech partner)
§ Paul Lalley – CPO: 2011 Red Dot Design Award, Gruppo Pozzi, Founder of K-Line Adventures
§ Ollie Graham – GM for Asia Pacific: Morgan Stanley, HSBC
§ Rohit Apte – Chief Science Officer: 15 years building trading systems and pricing models, HSBC
§ Olivier Brengues – GM for Europe: Entrepreneur (B2B software, ecommerce, mobile apps), investor and advisor
Advisors
§ Mario Rosati – Advisor: Partner @ Wilson, Sonsini, Goodrich & Rosati (our law firm)
§ Bob Hollis – Advisor: Founder and CEO of American Underwater Products (Steve Jobs of Diving!)
§ Sam Solakyan – Advisor: CEO of Global Holdings, Inc.
§ Drew Lieberman – Advisor: CEO of Glyde, former eBay Executive
§ Louis Castle – Advisor: Chairman of Metric Gaming
§ Kevin Strawbridge – Advisor: President of Retail, Motorcycle Retail Group
§ Michael Andersen – Advisor: Ph.D. in Environmental Science – Associate Professor @ North Texas University
§ Jason Kravitz – Advisor: Angel Investor
Executive Team
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17. Summary
VALUE PROPOSITION: Fastest way for consumers to find and buy products and services
BIG OPPORTUNITY
Creating a Category Killer in next generation
personalized shopping
EXPERIENCED TEAM
Multidisciplinary Mgt. team (market,
technology, execution)
INNOVATIVE BUSINESS MODEL
Both B2C and B2B revenue opportunity
SCALABLE REVENUE MODEL
10% of transactions in our B2C
marketplaces & B2B licensing of tech
stack
INNOVATIVE TECHNOLOGY
Proprietary AI creates an in-store
personalized shopping experience
online
HIGH MARGIN BUSINESS
Est. $104M in top line in five years from
launch @ 59% margin – no inventory
risk
DIVERSIFICATION OPPORTUNITIES
In other enthusiast markets & horizontal
Ecommerce
SEEKING 500K POST-SEED
to complete Alpha to MVP and Series
A
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18. Join Us to Create the Future of Online Shopping